Quantitative stable isotope probing (qSIP) and cross-domain networks reveal bacterial-fungal interactions in the hyphosphere

To date, our ability to associate microbial co-occurrence network patterns with biological interactions is limited, but the incorporation of qSIP allowed us to more precisely detect interacting partners by narrowing in on the taxa that were actively incorporating plant-fixed, fungal-transported labeled substrates. Together, these approaches can help build a mechanistic understanding of the complex nature of fungal-bacterial interactions in soil.

Authors

Institutions

Publication Details

Journal
Microbiome
Published
2025-04-30
DOI
https://doi.org/10.1186/s40168-025-02100-2
Citations
11
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
18.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative stable isotope probing (qSIP) and cross-domain networks reveal bacterial-fungal interactions in the hyphosphere

Mary K. Firestone, Giovana Simão Slanzon, Jennifer Pett‐Ridge, Katerina Estera‐Molina et al.
11 citations
Microbiome
Microbial Community Ecology and Physiology
18.88
article

Quantitative stable isotope probing (qSIP) and cross-domain networks reveal bacterial-fungal interactions in the hyphosphere

Mary K. Firestone, Giovana Simão Slanzon, Jennifer Pett‐Ridge, Katerina Estera‐Molina, Michael S. Allen, Aaron Chew, S. Blazewicz, Nhu Nguyen, Mengting Yuan
article en
11 citations

Abstract

To date, our ability to associate microbial co-occurrence network patterns with biological interactions is limited, but the incorporation of qSIP allowed us to more precisely detect interacting partners by narrowing in on the taxa that were actively incorporating plant-fixed, fungal-transported labeled substrates. Together, these approaches can help build a mechanistic understanding of the complex nature of fungal-bacterial interactions in soil.

MicrobiomeVol. 13(1)
University of Hawaiʻi at Mānoa (US), Lawrence Livermore National Laboratory (US), University of California, Berkeley (US)
Openalex Percentile: Top 1%
Microbial Community Ecology and Physiology
18.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.